{"id":"https://openalex.org/W7148451019","doi":"https://doi.org/10.5753/rbie.2026.6984","title":"Model Interpretability in the Educational Data Mining Context: A Systematic Literature Mapping","display_name":"Model Interpretability in the Educational Data Mining Context: A Systematic Literature Mapping","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7148451019","doi":"https://doi.org/10.5753/rbie.2026.6984"},"language":null,"primary_location":{"id":"doi:10.5753/rbie.2026.6984","is_oa":true,"landing_page_url":"https://doi.org/10.5753/rbie.2026.6984","pdf_url":"https://journals-sol.sbc.org.br/index.php/rbie/article/download/6984/3884","source":{"id":"https://openalex.org/S2764357793","display_name":"Revista Brasileira de Inform\u00e1tica na Educa\u00e7\u00e3o","issn_l":"1414-5685","issn":["1414-5685","2317-6121"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Revista Brasileira de Inform\u00e1tica na Educa\u00e7\u00e3o","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journals-sol.sbc.org.br/index.php/rbie/article/download/6984/3884","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056790928","display_name":"Cassio Soares Carvalho","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"C\u00e1ssio Soares Carvalho","raw_affiliation_strings":["Graduate Program in Computing / Federal University of Pelotas"],"raw_orcid":"https://orcid.org/0009-0003-0207-9023","affiliations":[{"raw_affiliation_string":"Graduate Program in Computing / Federal University of Pelotas","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132745516","display_name":"J\u00falio Carlos Balzano de Mattos","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J\u00falio Carlos Balzano de Mattos","raw_affiliation_strings":["Graduate Program in Computing / Federal University of Pelotas"],"raw_orcid":"https://orcid.org/0000-0002-0619-9271","affiliations":[{"raw_affiliation_string":"Graduate Program in Computing / Federal University of Pelotas","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124265305","display_name":"Marilton Sanchotene de Aguiar","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marilton Sanchotene de Aguiar","raw_affiliation_strings":["Graduate Program in Computing / Federal University of Pelotas"],"raw_orcid":"https://orcid.org/0000-0002-5247-6022","affiliations":[{"raw_affiliation_string":"Graduate Program in Computing / Federal University of Pelotas","institution_ids":["https://openalex.org/I169248161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056790928"],"corresponding_institution_ids":["https://openalex.org/I169248161"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56861392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"314","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9232000112533569,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9232000112533569,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.021299999207258224,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.010400000028312206,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9839000105857849},{"id":"https://openalex.org/keywords/systematic-review","display_name":"Systematic review","score":0.609000027179718},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.5845999717712402},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5393000245094299},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5188999772071838},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4449999928474426},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.430400013923645}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9839000105857849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6624000072479248},{"id":"https://openalex.org/C189708586","wikidata":"https://www.wikidata.org/wiki/Q1504425","display_name":"Systematic review","level":3,"score":0.609000027179718},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.5845999717712402},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5393000245094299},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5336999893188477},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5188999772071838},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4934999942779541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47049999237060547},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4449999928474426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4399000108242035},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.31189998984336853},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3100000023841858},{"id":"https://openalex.org/C2777598771","wikidata":"https://www.wikidata.org/wiki/Q5341279","display_name":"Educational data mining","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5753/rbie.2026.6984","is_oa":true,"landing_page_url":"https://doi.org/10.5753/rbie.2026.6984","pdf_url":"https://journals-sol.sbc.org.br/index.php/rbie/article/download/6984/3884","source":{"id":"https://openalex.org/S2764357793","display_name":"Revista Brasileira de Inform\u00e1tica na Educa\u00e7\u00e3o","issn_l":"1414-5685","issn":["1414-5685","2317-6121"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Revista Brasileira de Inform\u00e1tica na Educa\u00e7\u00e3o","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5753/rbie.2026.6984","is_oa":true,"landing_page_url":"https://doi.org/10.5753/rbie.2026.6984","pdf_url":"https://journals-sol.sbc.org.br/index.php/rbie/article/download/6984/3884","source":{"id":"https://openalex.org/S2764357793","display_name":"Revista Brasileira de Inform\u00e1tica na Educa\u00e7\u00e3o","issn_l":"1414-5685","issn":["1414-5685","2317-6121"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Revista Brasileira de Inform\u00e1tica na Educa\u00e7\u00e3o","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.784703254699707,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7148451019.pdf","grobid_xml":"https://content.openalex.org/works/W7148451019.grobid-xml"},"referenced_works_count":91,"referenced_works":["https://openalex.org/W1986092722","https://openalex.org/W2006444123","https://openalex.org/W2049736842","https://openalex.org/W2056116149","https://openalex.org/W2087646762","https://openalex.org/W2162821268","https://openalex.org/W2195388612","https://openalex.org/W2223470559","https://openalex.org/W2258103373","https://openalex.org/W2335349661","https://openalex.org/W2579555219","https://openalex.org/W2730483724","https://openalex.org/W2787760162","https://openalex.org/W2891503716","https://openalex.org/W2957897714","https://openalex.org/W2964303497","https://openalex.org/W2973874337","https://openalex.org/W2982205828","https://openalex.org/W3000065748","https://openalex.org/W3007934365","https://openalex.org/W3013602125","https://openalex.org/W3022746105","https://openalex.org/W3101981467","https://openalex.org/W3116286104","https://openalex.org/W3131457744","https://openalex.org/W3133477053","https://openalex.org/W3149190779","https://openalex.org/W3158611348","https://openalex.org/W3160715292","https://openalex.org/W3195153133","https://openalex.org/W3201112209","https://openalex.org/W3203721139","https://openalex.org/W3208090188","https://openalex.org/W3213133773","https://openalex.org/W4200004272","https://openalex.org/W4200215165","https://openalex.org/W4200555491","https://openalex.org/W4200627406","https://openalex.org/W4206360658","https://openalex.org/W4243295930","https://openalex.org/W4280651558","https://openalex.org/W4281629092","https://openalex.org/W4281747684","https://openalex.org/W4283727933","https://openalex.org/W4285586905","https://openalex.org/W4291653312","https://openalex.org/W4298306681","https://openalex.org/W4306874311","https://openalex.org/W4306931596","https://openalex.org/W4308993231","https://openalex.org/W4311249043","https://openalex.org/W4312634030","https://openalex.org/W4312884816","https://openalex.org/W4313162530","https://openalex.org/W4321602333","https://openalex.org/W4366808721","https://openalex.org/W4375853956","https://openalex.org/W4380684657","https://openalex.org/W4381956314","https://openalex.org/W4386134132","https://openalex.org/W4386229905","https://openalex.org/W4386252521","https://openalex.org/W4386742444","https://openalex.org/W4386785885","https://openalex.org/W4386947325","https://openalex.org/W4388288681","https://openalex.org/W4389164733","https://openalex.org/W4391139208","https://openalex.org/W4392122596","https://openalex.org/W4392559114","https://openalex.org/W4393992786","https://openalex.org/W4395448306","https://openalex.org/W4396225199","https://openalex.org/W4396886676","https://openalex.org/W4397294452","https://openalex.org/W4399364776","https://openalex.org/W4399377876","https://openalex.org/W4399624401","https://openalex.org/W4400208394","https://openalex.org/W4400409993","https://openalex.org/W4401017671","https://openalex.org/W4402171169","https://openalex.org/W4402486517","https://openalex.org/W4402666794","https://openalex.org/W4403603025","https://openalex.org/W4403774928","https://openalex.org/W4404490147","https://openalex.org/W4404532140","https://openalex.org/W4405646598","https://openalex.org/W4406416462","https://openalex.org/W4408504572"],"related_works":[],"abstract_inverted_index":{"Machine":[0],"learning":[1],"(ML)":[2],"techniques":[3],"in":[4,75,84,100,215,267,276,289],"the":[5,12,23,28,36,58,81,85,101,113,177,223,233,244,247,262,284,290],"Educational":[6],"Data":[7],"Mining":[8],"(EDM)":[9],"context":[10],"enable":[11],"development":[13,291],"of":[14,25,32,39,60,103,179,197,225,237,246,264,286,292],"increasingly":[15],"efficient":[16,45],"prediction":[17],"models.":[18,208],"This":[19],"evolution":[20],"benefits":[21],"from":[22,229],"improvement":[24],"ML":[26,131,231],"techniques,":[27,232],"current":[29],"massive":[30],"collection":[31],"heterogeneous":[33],"data,":[34,128],"and":[35,53,77,121,129,153,166,169,204,243,251,274,278,282,294],"high":[37],"availability":[38],"computational":[40],"power.":[41],"As":[42],"a":[43,72,93,139,147,187,194,211,219,258],"result,":[44],"models":[46,228],"are":[47,51],"obtained;":[48],"however,":[49],"they":[50],"complex":[52],"challenging":[54],"to":[55,80,96,108,112],"comprehend.":[56],"Therefore,":[57],"field":[59],"model":[61,198,280],"interpretability,":[62,106,281],"also":[63],"known":[64],"as":[65,186,193],"Explainable":[66],"Artificial":[67],"Intelligence":[68],"(XAI)":[69],"research,":[70],"becomes":[71],"pivotal":[73],"piece":[74],"consolidating":[76],"giving":[78],"credibility":[79],"solutions":[82],"developed":[83],"EDM":[86,104,296],"context.":[87],"In":[88],"this":[89,135,255],"sense,":[90],"we":[91,137],"presented":[92],"systematic":[94,202],"mapping":[95],"understand":[97],"how":[98],"studies":[99,214],"area":[102],"address":[105],"aiming":[107],"answer":[109],"questions":[110],"related":[111],"(i)":[114],"interpretability":[115,118,182,217,226,238,250,265],"context,":[116],"(ii)":[117],"methods,":[119],"metrics,":[120],"objectives,":[122],"(iii)":[123],"education":[124],"levels,":[125],"(iv)":[126],"educational":[127,269],"(v)":[130],"techniques.":[132],"To":[133],"achieve":[134],"goal,":[136],"conducted":[138],"Systematic":[140],"Literature":[141],"Mapping":[142],"(SLM),":[143],"which":[144,216],"involved":[145],"defining":[146,159],"research":[148,160],"protocol":[149],"with":[150],"planning,":[151],"conducting,":[152],"reporting":[154],"phases.":[155],"These":[156],"phases":[157],"included":[158],"questions,":[161],"establishing":[162,167],"digital":[163],"reference":[164],"libraries,":[165],"inclusion":[168],"exclusion":[170],"criteria.":[171],"The":[172],"findings":[173],"indicate":[174],"that,":[175],"despite":[176],"peculiarities":[178],"each":[180],"study,":[181],"is":[183,210,218],"frequently":[184],"addressed":[185],"post":[188],"hoc":[189],"component":[190],"rather":[191],"than":[192],"core":[195],"objective":[196],"design,":[199],"limiting":[200],"its":[201],"evaluation":[203],"comparative":[205],"analysis":[206],"across":[207,227],"There":[209],"need":[212],"for":[213],"central":[220],"objective,":[221],"including":[222],"comparison":[224],"different":[230],"exploration":[234],"or":[235],"proposal":[236],"metrics":[239],"(particularly":[240],"agnostic":[241],"ones),":[242],"investigation":[245],"relationship":[248],"between":[249],"algorithmic":[252],"fairness.":[253],"Overall,":[254],"study":[256],"offers":[257],"comprehensive":[259],"perspective":[260],"on":[261],"applicability":[263],"methods":[266],"various":[268],"contexts,":[270],"synthesizes":[271],"best":[272],"practices":[273],"limitations":[275],"measuring":[277],"comparing":[279],"highlights":[283],"importance":[285],"involving":[287],"stakeholders":[288],"transparent":[293],"effective":[295],"applications.":[297]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-04-03T00:00:00"}
